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Ruthvik23
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whisper-small-hi

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Metrics Community
Ruthvik23 commited on
Commit
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1 Parent(s): d4f8952

End of training

Browse files
Files changed (4) hide show
  1. README.md +10 -7
  2. model.safetensors +1 -1
  3. runs/Sep25_07-56-46_aimlsea1gcp23/events.out.tfevents.1727251006.aimlsea1gcp23.27302.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -25,7 +25,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 96.6054346905951
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6248
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- - Wer: 96.6054
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 5
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- - training_steps: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:------:|:----:|:---------------:|:-------:|
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- | 0.7789 | 0.0978 | 10 | 0.6248 | 96.6054 |
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 34.48742910353001
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5730
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+ - Wer: 34.4874
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 5
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+ - training_steps: 4000
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-------:|:----:|:---------------:|:-------:|
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+ | 0.003 | 9.7800 | 1000 | 0.4521 | 34.2123 |
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+ | 0.0004 | 19.5599 | 2000 | 0.5207 | 34.3562 |
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+ | 0.0001 | 29.3399 | 3000 | 0.5607 | 34.1404 |
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+ | 0.0001 | 39.1198 | 4000 | 0.5730 | 34.4874 |
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  ### Framework versions
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